Data Engineer Manager III, Litigation & Regulatory

Seattle, Washington, USA

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Job summary
As a Data Engineer Manager in Litigation & Regulatory, you will help Amazon tell its customer-centric story around the world. The Litigation & Regulatory team works with senior management to produce evidence and data to support legal and regulatory matters across all lines of our business. We engage with retail, marketplace services, AWS, consumer experience, shopping and search, and operations – and we do this worldwide. In this role, you will join a team of economists, engineers, and lawyers working to drive deeper understanding of Amazon and the benefits it delivers for customers and other businesses around the world.

As a Data Engineer Manager, you will help to build and lead a growing team of data engineers and business intelligence engineers to drive innovative data solutions for litigation and regulatory matters. You will be detail-oriented and comfortable leading large, complex cross-functional data collection, production, and analytical efforts. You should have strong business and communication skills, be comfortable in investigating data sources to provide data-driven recommendations, and be able to partner with legal stakeholders to define key requirements.

You will also lead new business intelligence solutions end-to-end, with opportunities to utilize data and develop new ways to answer a wide variety of questions. You will work with multiple stakeholders within and outside Amazon Legal to integrate data sources and create data infrastructures that will support advanced statistical and ML models. The successful candidate will be a self-starter comfortable with ambiguity, have a strong attention to detail, an ability to work in a fast-paced environment, and be driven by a desire to innovate in this space.

The position is based either in Seattle, WA or Arlington, VA.

Key job responsibilities
  • Lead a team of Business Intelligence Engineers and Data Engineers to produce data solutions in complex litigation and regulatory matters.
  • Interface with teams across Amazon to identify and analyze the right source of data to respond to a variety of high-impact issues and requests.
  • Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
  • Understand a broad range of Amazon’s data resources and know how, when, and which to use and which not to use with advanced analytical techniques to solve complex business problems.
  • Design, implement, and support a scalable and reliable infrastructure for Data Warehousing, BI, and Analysis using scalable and optimized techniques.
  • Model data and metadata to support a variety of requests in litigation and regulatory matters.
  • Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to raise the bar on analytics within legal.
  • Recognize and adopt best practices in reporting and analysis for data integrity, test design, analysis, validation, and documentation.
  • Continually improve ongoing reporting and analysis processes, automating, or creating self-service options.
  • Synthesize and translate complex findings into relevant and actionable insights.

Business Intelligence Engineers and Data Engineers are encouraged to apply!

Basic Qualifications


  • 5+ years of experience as a Data Engineer or in a similar role
  • Experience managing a data or BI team
  • Experience with data modeling, data warehousing, and building ETL pipelines
  • Experience leading and influencing the data strategy of your team or organization
  • Experience in SQL

  • Experience leading and developing a team of engineers.
  • Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field.
  • 5+ years of experience as a Business Intelligence Engineer, Data Engineer, Data Scientist, Business Analyst, or equivalent.
  • Proficiency with SQL.
  • Experience with data analytics and visualization tools such as QuickSight, Tableau, or similar tools.
  • Experience with a scripting language (Python, R, or similar).

Preferred Qualifications

  • Master’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or related field.
  • 7+ years of experience as a Business Intelligence Engineer, Data Engineer, Data Scientist, Business Analyst, or equivalent.
  • Experience with AWS services including S3 and Redshift.
  • Experience working with large, complex datasets.
  • Experience with statistical methods.
  • Experience with hands-on project management including prioritizing workflows, managing intake processes, and ensuring high quality output.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.


Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AWS Business Intelligence Computer Science Data Analytics Data strategy Data Warehousing Economics Engineering ETL Machine Learning Mathematics ML models Pipelines Python QuickSight R Redshift SQL Statistics Tableau

Region: North America
Country: United States
Job stats:  2  0  0

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